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DAQSyn: A decentralized adaptive quantization-aware synchronous framework in heterogeneous on-device AI networks.
Decentralized Federated Learning (DFL) has emerged as a key paradigm for collaborative model training across distributed edge devices while preserving data privacy and system autonomy. However, the performance of existing DFL frameworks is constrained by synchronization delays, high communication ov
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